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ES

Lead Python Engineer (AI-Powered Financial Assistant)

EPAM Systems
  • ๐Ÿ‡ง๐Ÿ‡ท Brazil | ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico | ๐Ÿ‡ฆ๐Ÿ‡ท Argentina | ๐Ÿ‡จ๐Ÿ‡ด Colombia
  • Remote
  • Staff / Principal
  • 11 hours ago
  • Python
  • AI
  • FastAPI
  • Incident Response
  • System Design
  • Large Language Models
  • AWS
  • Kubernetes
  • Terraform
  • React.js
  • Next.js
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We are seeking aLead Python Engineer to build a next-generation AI-powered financial assistant platform, rapidly iterating on chat, reporting, and bespoke interfaces used in investment workflows. You will own end-to-end delivery in a small, highly capable team and help shape product direction.

Responsibilities

  • Lead design and delivery of backend services for an AI-powered financial assistant
  • Define system architecture that balances quality, latency, reliability, and cost for AI features
  • Build production-grade APIs using Python and FastAPI with strong testing and observability
  • Implement LLM-powered workflows with robust safeguards, validation, and failure handling
  • Establish automated AI evaluations, test datasets, regression suites, and monitoring for model behavior
  • Harden applications with security controls for sensitive data, auditing, and access management
  • Collaborate with product and business users to refine requirements and ship iterative improvements
  • Drive code quality through reviews, standards, and maintainable engineering practices
  • Integrate AI-assisted programming and coding agents while critically validating generated code
  • Troubleshoot production issues with disciplined incident response and root-cause analysis
  • Guide technical decisions in a low-process environment and keep delivery momentum high

Requirements

  • 5+ years of professional software engineering experience with Python
  • Strong technical leadership and mentoring experience in senior engineering teams
  • Proven system design experience for production backend services and APIs
  • Deep FastAPI experience or strong experience with comparable Python web frameworks
  • Hands-on experience with AI-DLC and Gen AI assisted development workflows
  • Strong Large Language Models (LLM) application experience, including prompt design and integration patterns
  • Proven AI evaluation and quality engineering skills, including automated evals and regression testing
  • Strong AI security knowledge, including privacy, access control, prompt-injection risks, and guardrails
  • High autonomy and self-governance skills to deliver from vague requirements through implementation
  • Strong product judgment skills to identify edge cases and prioritize reliability and maintainability
  • Advanced English proficiency (C1, Advanced)

Nice to have

  • Amazon Web Services
  • Kubernetes
  • Terraform
  • ReactJS
  • Next.js

Lead Python Engineer (AI-Powered Financial Assistant) ยท EPAM Systems

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